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Pascal Friederich

4 papers hereh-index 241 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cond-mat.mtrl-sci1
  • cond-mat.soft1
same name
  • Pascal Friederich — 25 papers, h 32
  • Pascal Friederich — 10 papers, h 5
  • Pascal Friederich — 4 papers, h 1
  • Pascal Friederich — 1 paper, h 2
  • Pascal Friederich — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
collaborators

4 papers

cond-mat.soft2026

Synergistic approach to probing the dynamics and mechanics of patchy soft matter

Md Mozakker H. Shojib, Asier C. Monasterio, Emanuele Locatelli +3

Tailoring microscopic details to tune bulk rheology is a key paradigm in soft matter physics, yet the vast parameter space associated with constituent interactions precludes a full…

cs.LG2026

Hyper-Dimensional Fingerprints as Molecular Representations

Jonas Teufel, Luca Torresi, André Eberhard +1

Computational molecular representations underpin virtual screening, property prediction, and materials discovery. Conventional fingerprints are efficient and deterministic but lose…

cs.LG2025

Learning Potential Energy Surfaces of Hydrogen Atom Transfer Reactions in Peptides

Marlen Neubert, Patrick Reiser, Frauke Gräter +1

Hydrogen atom transfer (HAT) reactions are essential in many biological processes, such as radical migration in damaged proteins, but their mechanistic pathways remain incompletely…

cond-mat.mtrl-sci2024

Discovering one molecule out of a million: inverse design of molecular hole transporting semiconductors tailored for perovskite solar cells

Jianchang Wu, Luca Torresi, ManMan Hu +17

The inverse design of tailored organic molecules for specific optoelectronic devices of high complexity holds an enormous potential, but has not yet been realized1,2. The complexit…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.